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Add Certification

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simoninithomas
2023-02-04 12:24:19 +01:00
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units/en/_toctree.yml
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title: Congratulations
- local: communication/certification
title: Get your certificate of completion
- local: communication/whats-next
title: What can you do from here

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units/en/communication/certification.mdx
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# The certification process
The certification process is **completely free**:
- To get a *certificate of completion*: you need **to pass 80% of the assignments** before the end of April 2023.
- To get a *certificate of honors*: you need **to pass 100% of the assignments** before the end of April 2023.
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/certification.jpg" alt="Course certification" width="100%"/>
When we say pass, **we mean that your model must be pushed to the Hub and get a result equal or above the minimal requirement**.
To check your progression and which unit you passed/not passed: https://huggingface.co/spaces/ThomasSimonini/Check-my-progress-Deep-RL-Course
Now that you're ready for the certification process, you need to:
1. Go here: [ADD CERTIFICATION SPACE LINK]
2. Type your *hugging face username*, your *first name*, *last name* and the *email* where you want to receive the mail containing the certificate (if you passed).
3. Click on "check if I passed."
- If you passed 80% of the assignments, **congratulations** you've just got the certificate of completion.
- If you passed 100% of the assignments, **congratulations** you've just got the honors certificate.
- If you are below 80%, don't be discouraged. Check which units you need to do again to get your certificate.
Don't hesitate to share your certificate on Twitter (tag me @ThomasSimonini and @huggingface) and on Linkedin.
## FAQ
### I didn't received the certificate!
- Check your spam folder and if it's not, try again with a different email address.

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units/en/communication/conclusion.mdx
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# Conclusion
# Congratulations
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/communication/thumbnail.png" alt="Thumbnail"/>
**Congratulations on finishing this course!** With perseverance, hard work, and determination, **you've acquired a solid background in Deep Reinforcement Learning**.
But finishing this course is **not the end of your journey**. It's just the beginning: don't hesitate to explore bonus unit 3, where we show you topics you may be interested in studying. And don't hesitate to **share what you're doing, and ask questions in the discord server**
**Thank you** for being part of this course. **I hope you liked this course as much as I loved writing it**.
Don't hesitate **to give us feedback on how we can improve the course** using [this form](https://forms.gle/BzKXWzLAGZESGNaE9)
And don't forget **to check in the next section how you can get (if you pass) your certificate of completion ‎‍🎓.**
One last thing, to keep in touch with the Reinforcement Learning Team and with me:
- [Follow me on Twitter](https://twitter.com/thomassimonini)
- [Follow Hugging Face Twitter account](https://twitter.com/huggingface)
- [Join the Hugging Face Discord](https://www.hf.co/join/discord)
## Keep Learning, Stay Awesome 🤗
Thomas Simonini,

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units/en/communication/whats-next.mdx
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# What's next?
- CTA follow us on twitter
- Discord to echange and find projects and share projects